CiteScore: 2.40ℹ
CiteScore is the number of citations received in one year (Y), to documents published in the three previous years (Y-1, Y-2, Y-3), divided by the number of documents published in those same three years (Y-1, Y-2, Y-3).

Source Normalized Impact per Paper (SNIP): 1.588ℹSource Normalized Impact per Paper (SNIP):2015: 1.588SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.

SCImago Journal Rank (SJR): 0.785ℹSCImago Journal Rank (SJR):2015: 0.785SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal’s impact.

Author StatsℹAuthor Stats:Publishing your article with us has many benefits, such as having access to a personal dashboard: citation and usage data on your publications in one place. This free service is available to anyone who has published and who’s publication is in Scopus.

Stereo matching process is a difficult and challenging task due to many uncontrollable factors that affect the results. These factors include the radiometric variations and illumination inconsistence....

Depth is an important visual cue to perceive real-world scenes. Although a time-of-flight (ToF) depth camera can provide depth information in dynamic scenes, captured depth images are often noisy and...

The proliferation of large number of images has made it necessary to develop systems for indexing and organizing images for easy access. This has made Content-Based Image Retrieval (CBIR) an important...

In this paper, a simple primal-dual method named PDL is proposed for a convex concave saddle problem and applied to total variational image deblurring. Introduction of linear mapping on proximal term...

Without knowing the sparsity basis, Blind Compressive Sensing (BCS) can achieve similar results with those Compressive Sensing (CS) methods which rely on prior knowledge of the sparsity basis. However,...

This paper presents a novel framework for hyperspectral satellite image broadcasting over wireless channels. We present a new hyperspectral band ordering algorithm that improves the compression performance....

In low light condition, low dynamic range of the captured image distorts the contrast and results in high noise levels. In this paper, we propose an effective contrast enhancement method based on dual-tree...

Human gender is one of the important demographic distinctiveness for facial image description. In this paper, a novel method is proposed for gender classification from real-world images under wide ranges...

Over the last decade, the emergence of new multimedia devices has motivated the research on efficient media streaming mechanisms that adapt to dynamic network conditions and heterogeneous devices’ capabilities....

A practical design of digital watermarking for video streaming services is proposed in this research. The information of a legitimate recipient is represented as a watermark, which is embedded in the...

A huge amount of text and multimedia (images and videos) data concerning venues is constantly being generated. To model the semantics of these venues, it is essential to analyze both text and multimedia...

An approach that extracts global attributes from outdoor images to facilitate geometric layout labeling is investigated in this work. The proposed Global-attributes Assisted Labeling (GAL) system exploits...

In this paper, we have developed a novel and robust framework of combining a matrix splitting with multi-view stereo reconstructions to separate reconstruction inaccuracies from a various parameters...

Reversible data hiding for encrypted signals with prefect reconstruction of directly decrypted signals is introduced in this paper. Each unit in the original image is separated into three components...

Video semantic detection has been one research hotspot in the field of human-computer interaction. In video features-oriented sparse representation, the features from the same category video could not...

Nonlocal means (NLM) filtering or sparse representation based denoising method has obtained a remarkable denoising performance. In order to integrate the advantages of two methods into a unified framework,...

Fractal image compression is an innovative way of image representation by using relationships among the sub-section of image itself. It utilizes the existence of self-symmetry and uses affine contractive...

Image blind deconvolution is well known as a challenging, ill-posed problem due to the uncertainty of the blur kernel and the noise condition. Based on our observations, blind deconvolution algorithms...

A method to solve the problem of face recognition at a distance (FRAD) under the visible-light (VIS) and the near-infrared (NIR) spectra is presented in this work. For images taken under visible light...

The recent growth of multimedia content used in daily-life communication requires the development of image description techniques able to unequivocally identify observed objects, despite image transformations,...

This work attempts to address two fundamental questions about the structure of the convolutional neural networks (CNN): (1) why a nonlinear activation function is essential at the filter output of all...

Human action recognition is still attracting the computer vision research community due to its various applications. However, despite the variety of methods proposed to solve this problem, some issues...

Dense trajectory methods have recently been proved to be successful in recognizing actions in realistic videos. However, their performance is still limited due to the uniform dense sampling, which does...

A novel on-line video object segmentation scheme based on illumination-invariant color-texture feature extraction and marker prediction is proposed in this paper. First, the location of the object of...

A novel reversible data hiding (RDH) method based on flexible block-partition and adaptive pixel-modification strategy is proposed in this paper, which is implemented from the following two aspects....

In this paper, by proposing a two-stage segmentation method based on active contour model, we improve the procedure of former image segmentation methods. The first stage of our method is computing weights,...

We propose a fast and efficient image retrieval system based on color and texture features. The color features are represented by color histograms and texture features are represented by block difference...

Although research on zero-watermarking has made great progress in recent years, most of it has been focused on grayscale images rather than color ones, and cannot resist geometric attacks efficiently....

Minimizing morphological variances of the vocal tract across speakers is a challenge for articulatory analysis and modeling. In order to reduce morphological differences in speech organs among speakers...

Depth information of objects plays a significant role in image-based rendering. Traditional depth estimation techniques use different visual cues including the disparity, motion, geometry, and defocus...

In this paper, we propose a spatially variant total variational model to correct chromatic aberration (CA) that causes false color artifacts near edges in captured images. In general, it may be very...

Existing vector-based multimedia classification often incurs loss of space-time information and requires generation of high-dimensional vectors. To explore a possible new solution for the problem, we...

Given several related tasks, multi-task feature selection determines the importance of features by mining the correlations between them. There have already many efforts been made on the supervised multi-task...

Polygonal approximation of a shape boundary can provide a minimalistic representation of the shape. It can also accelerate the processing speed of feature extraction. Our interest is in applying such...

Despite all the technological developments in image acquisition and processing, preserving old documents and other data of historical interest is still a very challenging issue. Indeed, these documents...

Otsu’s method is a classic thresholding approach in image segmentation. While the two-dimensional (2D) Otsu’s method performs better than the original one in segmenting images corrupted by noise, it...